18170963. TEXT-BASED IMAGE GENERATION simplified abstract (ADOBE INC.)
Contents
TEXT-BASED IMAGE GENERATION
Organization Name
Inventor(s)
Taesung Park of San Francisco CA (US)
Richard Zhang of Burlingame CA (US)
Junyan Zhu of Pittsburgh PA (US)
Elya Shechtman of Seattle WA (US)
Sylvain Paris of Jamaica Plain MA (US)
TEXT-BASED IMAGE GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18170963 titled 'TEXT-BASED IMAGE GENERATION
- Simplified Explanation:**
The patent application describes systems and methods for generating images based on text prompts by utilizing style vectors and adaptive convolution filters.
- Key Features and Innovation:**
- Obtaining a text prompt to generate an image.
- Generating a style vector based on the text prompt.
- Creating an adaptive convolution filter based on the style vector.
- Generating an image corresponding to the text prompt using the adaptive convolution filter.
- Potential Applications:**
This technology could be used in various fields such as graphic design, art generation, content creation, and virtual reality applications.
- Problems Solved:**
This technology addresses the challenge of generating images based on text prompts in a more efficient and accurate manner.
- Benefits:**
- Improved image generation process.
- Enhanced customization and personalization of generated images.
- Increased efficiency in creating images based on text prompts.
- Commercial Applications:**
The technology could have commercial applications in industries such as advertising, entertainment, gaming, and digital art creation tools.
- Prior Art:**
Prior art related to this technology may include research on image generation algorithms, style transfer techniques, and convolutional neural networks.
- Frequently Updated Research:**
Researchers may be exploring advancements in style vector generation, adaptive convolution filters, and image generation techniques based on text prompts.
- Questions about Image Generation Technology:**
1. How does the use of style vectors improve the image generation process? 2. What are the potential limitations of adaptive convolution filters in generating images based on text prompts?
Original Abstract Submitted
Systems and methods for image generation are provided. An aspect of the systems and methods includes obtaining a text prompt, generating a style vector based on the text prompt, generating an adaptive convolution filter based on the style vector, and generating an image corresponding to the text prompt based on the adaptive convolution filter.
